{"id":"https://openalex.org/W2897253339","doi":"https://doi.org/10.1145/3207677.3277950","title":"Convolutional Neural Network for Smoke Image Super-Resolution","display_name":"Convolutional Neural Network for Smoke Image Super-Resolution","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2897253339","doi":"https://doi.org/10.1145/3207677.3277950","mag":"2897253339"},"language":"en","primary_location":{"id":"doi:10.1145/3207677.3277950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3277950","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057648798","display_name":"Maoshen Liu","orcid":"https://orcid.org/0000-0003-4910-2799"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maoshen Liu","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044541383","display_name":"Ke Gu","orcid":"https://orcid.org/0000-0001-5540-3235"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Gu","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055432844","display_name":"Junfei Qiao","orcid":"https://orcid.org/0000-0002-1707-6074"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfei Qiao","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057648798"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.6018,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76203209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.7981187105178833},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7685831189155579},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.742761492729187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648648738861084},{"id":"https://openalex.org/keywords/flare","display_name":"Flare","score":0.5810930132865906},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5166685581207275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46906542778015137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4462159276008606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38179969787597656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3742889165878296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13040727376937866},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07504534721374512},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07314878702163696}],"concepts":[{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.7981187105178833},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7685831189155579},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.742761492729187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648648738861084},{"id":"https://openalex.org/C2779588948","wikidata":"https://www.wikidata.org/wiki/Q628261","display_name":"Flare","level":2,"score":0.5810930132865906},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5166685581207275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46906542778015137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462159276008606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38179969787597656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3742889165878296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13040727376937866},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07504534721374512},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07314878702163696},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3207677.3277950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3277950","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1562683879","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W2013511761","https://openalex.org/W2063360098","https://openalex.org/W2067042811","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2103824707","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2131349449","https://openalex.org/W2150081556","https://openalex.org/W2242218935","https://openalex.org/W2430408220","https://openalex.org/W2534320940","https://openalex.org/W2594112328","https://openalex.org/W2607041014","https://openalex.org/W2747898905","https://openalex.org/W2963372104"],"related_works":["https://openalex.org/W3124775541","https://openalex.org/W29508950","https://openalex.org/W2013743045","https://openalex.org/W2074107941","https://openalex.org/W1994848543","https://openalex.org/W2086147291","https://openalex.org/W3116422409","https://openalex.org/W2380576232","https://openalex.org/W35988605","https://openalex.org/W2005773594"],"abstract_inverted_index":{"The1":[0],"flare":[1,24,50,87,127],"stack":[2,25,51,128],"is":[3,142],"the":[4,10,22,40,46,80,84,105,109,118,122,126,145],"last":[5],"line":[6],"of":[7,13,82,86,121,125],"defense":[8],"in":[9,55,62,99],"safe":[11],"production":[12,34],"large-scale":[14],"chemical":[15],"plants.":[16],"Monitoring":[17],"black":[18,47],"smoke":[19,77,85,101,151],"produced":[20],"by":[21],"incomplete":[23],"exhaust":[26],"combustion":[27],"can":[28],"effectively":[29],"reduce":[30],"environmental":[31],"pollution":[32],"and":[33,44,108],"accident.":[35],"In":[36],"order":[37],"to":[38,42,144,150],"improve":[39],"ability":[41],"recognition":[43],"analyze":[45],"smoke,":[48],"high-resolution":[49],"scene":[52],"images":[53,107],"are":[54],"urgent":[56],"need.":[57],"To":[58,112],"this":[59,63],"end,":[60],"we":[61],"paper":[64],"propose":[65],"a":[66,90],"super-resolution":[67,119,133],"algorithm":[68,116,141],"based":[69],"on":[70,76],"convolutional":[71,92],"network":[72,94,97],"that":[73,139],"focuses":[74],"only":[75],"area":[78],"for":[79],"purpose":[81],"identifying":[83],"stack.":[88],"With":[89],"lightweight":[91],"neural":[93],"structure,":[95],"our":[96,115,140],"specializes":[98],"learning":[100],"characteristics":[102],"mapping":[103],"between":[104],"low-resolution":[106],"associated":[110],"high-resolution.":[111],"verify":[113],"validity,":[114],"compares":[117],"quality":[120],"smoky":[123],"region":[124],"image":[129],"with":[130],"several":[131],"classic":[132],"algorithms.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"superior":[143],"classical":[146],"algorithms":[147],"when":[148],"applied":[149],"images.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}